Laimoon.com

Data Analytics for Business Leaders - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course equips senior professionals with the ability to leverage data analytics for strategic decision-making. Delegates will explore fundamental analytical techniques, interpret key business metrics, and learn how to drive organisational performance through data-driven insights. With a focus on leadership applications, this programme ensures executives can integrate analytics into business strategy effectively.

Course Outcomes:
Understand the role of data analytics in strategic business decisions
Develop a data-driven approach to leadership and problem-solving
Interpret and apply key performance indicators (KPIs) effectively
Improve forecasting accuracy using predictive analytics
Enhance decision-making with real-time data visualisation tools
Align data insights with organisational objectives
Understand regulatory and ethical considerations in data analytics
Foster a data-driven culture within the organisation
Use storytelling techniques to communicate insights effectively
Identify opportunities for digital transformation using analytics

Who Should Attend:
Managers and functional leaders from large private and public sector organizations seeking to enhance strategic decision-making through data analytics. Past delegates have included:
\n
Business Analyst
Data Insights Manager
Operations Team Lead
Marketing Analytics Specialist
Project Manager

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data-Driven Business Strategy

Using analytics to shape business strategy
Identifying key business metrics and KPIs
Scenario planning and decision support systems
Data governance and risk management

Leading a Data-Driven Organisation

Developing a data-driven culture
Overcoming organisational resistance to data adoption
Ethical considerations in data-driven decision-making
Case studies on data-driven leadership

Cost: 4850 GBP

Duration: 5 Days

Cybersecurity Analytics and Risk Management - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course focuses on the application of data analytics in cybersecurity and risk management. Delegates will learn how to use analytics to detect threats, assess vulnerabilities, and develop proactive security strategies to protect organisational assets.

Course Outcomes:
Apply data analytics for real-time threat detection
Strengthen cybersecurity frameworks with AI-driven insights
Identify patterns of fraudulent and malicious activities
Use predictive models to anticipate security breaches
Implement data governance and compliance measures
Improve incident response through automated analytics
Analyse cyber risk exposure and mitigation strategies
Enhance regulatory reporting and compliance monitoring
Strengthen cloud security with data analytics
Develop an integrated risk management framework

Who Should Attend:
Cybersecurity and IT risk professionals responsible for threat detection, risk assessment, and implementing data-driven security strategies. Past delegates have included:
\n
Cyber Threat Analyst
IT Risk and Compliance Officer
Security Operations Center (SOC) Analyst
Data Protection Specialist
Information Security Consultant

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Cyber Threat Intelligence and Data Analytics

AI-driven threat detection and response
Data analytics in fraud detection
Behavioural analytics for insider threat detection
Case studies on cybersecurity breaches

Risk Analytics and Compliance Management

Data-driven risk assessment frameworks
Compliance and regulatory analytics (GDPR, ISO 27001)
Incident response automation with analytics
Risk mitigation strategies using predictive modelling

Cost: 4850 GBP

Duration: 5 Days

Customer and Marketing Analytics for Business Growth - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is designed for marketing, sales, and customer experience professionals who want to leverage data analytics to enhance customer engagement, optimise campaigns, and drive business growth. Delegates will learn advanced customer segmentation, behavioural analytics, and ROI measurement techniques.

Course Outcomes:
Use data analytics to improve customer acquisition and retention
Develop data-driven marketing campaigns
Implement advanced customer segmentation and targeting
Measure marketing ROI using analytics tools
Enhance customer experience with predictive modelling
Apply sentiment analysis and social media analytics
Optimise pricing strategies through data insights
Automate personalised marketing with AI
Use A/B testing to refine marketing strategies
Develop dashboards for real-time marketing performance monitoring

Who Should Attend:
Marketing, sales, and customer experience professionals aiming to use data analytics for campaign optimization and business growth. Past delegates have included:
\n
Marketing Data Analyst
CRM Campaign Manager
Digital Marketing Specialist
Customer Insights Analyst

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Customer Behaviour and Segmentation Analytics

Data-driven customer profiling and segmentation
Predicting customer churn and retention strategies
Sentiment analysis and text analytics in marketing
Case studies on customer analytics success

Marketing Performance Optimisation

A/B testing and marketing experimentation
ROI measurement using data-driven insights
Personalisation and AI-driven marketing automation
Real-time analytics for campaign optimisation

Cost: 4850 GBP

Duration: 5 Days

Big Data Analytics for Digital Transformation - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is designed for professionals leading digital transformation initiatives who need to harness big data analytics to drive innovation and competitive advantage. Delegates will learn how to extract insights from vast datasets, apply AI-driven analytics, and integrate big data into business strategy.

Course Outcomes:
Understand the role of big data in digital transformation
Integrate big data analytics into business models
Utilise cloud computing and big data architectures
Leverage AI and machine learning for advanced analytics
Implement real-time data analytics for agile decision-making
Enhance customer experience through data-driven insights
Optimise operations using big data automation
Improve cybersecurity with data analytics tools
Drive innovation through data-led experimentation
Develop scalable data governance frameworks

Who Should Attend:
Mid-level IT and business professionals driving digital transformation through big data and analytics for innovation and competitive advantage. Past delegates have included:
\n
Digital Transformation Project Manager
Business Intelligence Analyst
IT Strategy Consultant
Data Engineering Lead
Innovation Program Manager

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Big Data and AI in Digital Transformation

Fundamentals of big data technologies (Hadoop, Spark)
AI and machine learning in big data analytics
Cloud-based data platforms and architectures
Real-world applications of big data in business

Implementing Data-Driven Innovation

Creating a data-driven innovation culture
Digital product development with analytics
Data governance and ethical AI considerations
Case studies on digital transformation success

Cost: 4850 GBP

Duration: 5 Days

Advanced Data Analytics for Financial Services - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This course is tailored for professionals in the financial sector who need to harness data analytics for risk management, fraud detection, and strategic financial planning. Delegates will gain a deep understanding of financial modelling, regulatory compliance, and AI-driven insights for improved decision-making.

Course Outcomes:
Use analytics to enhance financial risk management
Detect fraud and anomalies using advanced data techniques
Apply predictive models to market and credit risk analysis
Improve investment strategies with data-driven insights
Ensure regulatory compliance using data monitoring tools
Strengthen financial forecasting and scenario modelling
Optimise revenue streams through customer analytics
Automate financial decision-making with AI-driven insights
Enhance reporting and financial dashboard creation
mprove capital allocation using data science techniques

Who Should Attend:
Finance professionals and middle managers in the financial sector seeking to leverage data analytics for risk management, fraud detection, and strategic planning. Past delegates have included:
\n
Financial Risk Analyst
Compliance Data Specialist
Investment Operations Manager
Credit Risk Analyst
Treasury Data Analyst

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data Analytics in Financial Risk Management

Credit scoring and risk modelling
Fraud detection using AI and machine learning
Stress testing and scenario analysis
Regulatory compliance through data analytics

Financial Modelling and Investment Analytics

Predictive analytics in investment decisions
Algorithmic trading and quantitative modelling
Customer segmentation and revenue optimisation
Data-driven portfolio management

Cost: 4850 GBP

Duration: 5 Days

Strategic Information Technology - Level 2 - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
This intermediate course builds on IT strategy fundamentals, focusing on integrating IT systems with corporate strategy, governance, and the measurement of IT investments strategic impact.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans to introduce efficient enterprise computing systems, cloud computing and Software as a Service (SaaS)
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior financial executives, managers and professionals, who need to understand the impact and opportunities provided by advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, responsible for budgets and projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects

Course Topics:
IT Strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to start
Common mistakes and SWOT

Cloud computing

The economic case for cloud computing
The opportunities from cloud computing: SaaS IaaS PaaS etc
Cloud issues: security confidentiality performance limitations (big data and content)
Purchasing and procurement of cloud
Cloud as an opportunity to upgrade and to rethink data and processes
What is SOA and should I care?

Enterprise Resource Planning (ERP)

ERP and workflow history and economic
Functionality and vendor analysis
ERP pitfalls
ERP and open standards
Common mistakes and SWOT

Customer Relationship Management (CRM)

Second generation CRM and functionality
Selecting and specifying your CRM on-premise v cloud
Marketing analysis and campaigns 360 relationships and social media
The application of CRM in public and private sector (sales v. citizen interactions)
Common mistakes and SWOT

Management Information and Financial Systems

Selecting and specifying your financial system including appraisal against IFRS
Managing a large organisation meeting board management and regulatory needs
The impact of cloud and big data issues
Data efficiency utilisation and control avoiding data silos
Business Intelligence and an integrated view of the organisation

Cost: 4250 GBP

Duration: 5 Days

Web Analytics and Data-Driven Decision Making - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:13 +04

Course Introduction:
Unlock the power of data with our Data-Driven Decision Making course. Learn to harness data analysis tools and techniques to drive strategic decisions, enhance business performance, and gain a competitive edge. Through hands-on exercises and real-world case studies, youll develop skills to interpret data effectively, make informed decisions, and achieve measurable results. Ideal for professionals aiming to leverage data for impactful outcomes.

Course Outcomes:
Upon completion of this course, participants will:

Develop a solid foundation in web analytics, including terminology, key metrics, and tools used for data collection and analysis
Learn to analyse web data effectively, extract actionable insights, and translate data into strategic decisions that benefit the organisation
Understand the principles of CRO, conduct A/B testing, and implement strategies to improve website conversions and user experiences
Gain proficiency in advanced analytics techniques, dashboards, and reporting tools to monitor performance and communicate findings to stakeholders

Who Should Attend:
This course is tailored for individuals in management roles within training and consultancy firms who want to gain expertise in web analytics and use data-driven insights to make informed decisions that drive business success.

Course Topics:
Introduction to Web Analytics

Understanding the role of web analytics
Key web analytics terminology
Types of data collected
Overview of web analytics tools

Data Collection and Analysis

Setting up web analytics tools (, Google Analytics)
Data collection and tracking best practices
Data segmentation and filtering
Analysing website traffic and user behaviour

Data-Driven Decision Making

Leveraging data for strategic decision-making
Identifying actionable insights
Building a data-driven culture within organisations
Ethical considerations in data usage

Conversion Rate Optimization (CRO)

principles of CRO and its importance
A/B testing and experimentation
Implementing CRO strategies
Monitoring and measuring CRO success

Advanced Analytics and Reporting

Advanced analytics techniques (, cohort analysis funnel analysis)
Creating custom reports and dashboards
Communicating data insights to stakeholders
Continuous improvement through data analysis

Cost: 4250 GBP

Duration: 5 Days

Strategic Information Technology - Level 1 - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:12 +04

Course Introduction:
Kickstart your strategic IT knowledge with this course, focusing on the foundational aspects of IT within a business context, including basic IT strategy and management principles.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior managers, executives and professionals, who need to understand the impact and opportunities arising from advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, who are responsible for budgets and projects and must know the costs, economics, potential impact of computing and how to introduce computing projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects
Those responsible for delivering IT and IT projects

Course Topics:
IT Strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to start
Common mistakes and SWOT

Project management

Large versus small projects
Agile versus other methodologies: SSADM and Prince II
Big project case studies and research findings
Procurement and contract management: life cycle procurement
IT benchmarking

Agile project management

History and successes
Agile practices
Agile disciplines and fulfilling control and reporting needs
Setting up the agile team

Advanced Business Intelligence

Information and intelligence to run an organisation: data driven models and budgetary control; decision support systems; risk modelling and data-mining
Further techniques to define information: Critical Success Factors KPIs Balanced scorecard and benchmarks
Specialist needs: combating money laundering; fraudulent trading etc
Communicating with the Boardroom: BI dashboards and BI usage
The future: using BI to deliver policies

Using the web and social media for competitive gain

BI and data-mining analysis of marketing and selling data
Pro-active use of social media Facebook viral campaigns community groups
Analysis of tweets and social media
Dealing with big data and data discovery

Cost: 4250 GBP

Duration: 5 Days

Data-Driven Decision Making in Government - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
Designed for public sector professionals, this course focuses on leveraging data analytics to improve policy-making, public service delivery, and governance. Delegates will explore real-world case studies and gain hands-on experience with data-driven decision-making frameworks.

Course Outcomes:
Use data analytics to improve policy decisions
Enhance public service delivery with data insights
Apply predictive models for economic and social planning
Improve regulatory compliance using data monitoring
Develop evidence-based governance strategies
Communicate insights effectively to policymakers
Strengthen inter-agency data collaboration
Optimise budget planning and resource allocation
Implement AI-driven public service improvements
Ensure data security and ethical governance

Who Should Attend:
Public sector managers and analysts aiming to enhance policy-making and service delivery through data-driven decision-making frameworks. Past delegates have included:
\n
Policy Data Analyst
Public Service Operations Manager
Research and Planning Officer
Government Program Analyst
Budget and Resource Planner

Course Topics:
Foundations of Data Analytics

Introduction to data analytics and its business impact
Key data types and sources within organisations
Fundamentals of statistical analysis
Overview of analytics tools and technologies

Data Visualisation and Communication

Principles of effective data storytelling
Designing impactful visual dashboards
Tools for data visualisation ( Power BI, Tableau)
Best practices for presenting data-driven insights

Predictive Analytics and Forecasting

Introduction to predictive modelling techniques
Business forecasting using time series analysis
Understanding machine learning in forecasting
Case studies on predictive analytics in decision-making

Data Analytics for Public Policy

Data-driven policy formulation
Impact analysis and performance measurement
Economic modelling and scenario planning
Public sector case studies

Smart Governance and Digital Transformation

AI and machine learning in government
Citizen data privacy and ethical considerations
Digital transformation strategies in the public sector
Case studies on data-driven governance

Cost: 4850 GBP

Duration: 5 Days

Big Data and Advanced Analytics applications in Industry - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
Discover how blockchain technology can revolutionise institutional and industry operations. This course provides a comprehensive understanding of blockchain applications, strategic integration, and risk management, enabling you to leverage this disruptive technology for innovation and efficiency in your organisation.

Course Outcomes:
Equip participants with a solid foundation in big data and analytics concepts
Enable participants to identify and collect relevant data sources for analysis
Teach advanced analytics techniques and tools for extracting meaningful insights
Empower participants to apply data-driven decision-making in their respective industries

Who Should Attend:
This executive education course is designed to provide professionals in the field of management and operations with the essential knowledge and skills required to harness the power of big data and advanced analytics in various industry sectors. Participants will gain a comprehensive understanding of how data-driven insights can drive strategic decision-making and enhance operational efficiency. This course is ideal for Directors of Operations, managers, and professionals in management roles in various industries, including consultancy firms. It is suitable for individuals who are looking to enhance their decision-making capabilities through the use of big data and advanced analytics.

Course Topics:
Introduction to Big Data and Analytics

Understanding the fundamentals of big data and analytics
Exploring real-world use cases and success stories
Introduction to data collection and storage techniques
Ethical considerations in data handling

Data Acquisition and Preparation

Data sourcing and integration strategies
Data cleaning transformation and preprocessing
Handling structured and unstructured data
Data quality assessment and assurance

Advanced Analytics Techniques

Statistical analysis and hypothesis testing
Predictive modeling and machine learning algorithms
Data visualization and interpretation
Case studies in advanced analytics applications

Implementing Analytics in Operations

Integrating analytics into business operations
Building a data-driven culture within an organisation
Monitoring and optimizing operational processes
Risk management and compliance in analytics

Strategic Decision-Making with Big Data

Strategic planning and goal alignment
Scenario analysis and predictive modeling for decision support
Business intelligence tools and dashboards
Developing a data-driven business strategy

Cost: 4250 GBP

Duration: 5 Days

Advanced Strategic Information Technology - LCT International , Malaysia, Saudi Arabia, Singapore, Turkey, UAE, United Kingdom, Dubai, Riyadh, Kuala Lumpur, London, Istanbul

Wed, 14 May 2025 11:15:11 +04

Course Introduction:
For IT professionals seeking a strategic edge, this course covers advanced concepts in aligning IT strategy with business goals, leveraging technology for competitive advantage.

Course Outcomes:
Appreciate the advantages and risks of corporate and internet computing, in achieving financial, efficiency and other objectives
Explain the costs, economics and opportunities provided by the corporate computing systems, the internet, cloud computing, open standards and social media
Create plans to introduce efficient enterprise computing systems, cloud computing and Software as a Service (SaaS)
Create plans for the application and management of ERP, CRM and IT projects using agile project management to achieve efficient and reliable and effective performance

Who Should Attend:
Senior financial executives, managers and professionals, who need to understand the impact and opportunities arising from advances in IT, the internet, social media, cloud and open standards, in order to inform the board of emerging IT risks and opportunities
Financial executives, managers and professionals, who are responsible for budgets and projects and must know the costs, economics and potential impact of computing and how to introduce computing projects
Senior company executives who are in charge of change management, ERP, CRM and IT projects

Course Topics:
IT strategy

Advances in IT and developments in corporate computing
IT applications security and architecture
Issues in formulating IT strategy to meet organisational needs
Current themes and trends open standards and the new digital environment
The IT strategy framework
Where and how to startCommon mistakes and SWOT

Project Management

Large versus small projects
Agile versus other methodologies: SSADM and Prince II
Big project case studies and research findings
Procurement and contract management: life cycle procurement
IT benchmarking

Agile Project Management

History and successesAgile practices
Agile disciplines and fulfilling control and reporting needsSetting up the agile team

Cloud Computing

The economic case for cloud computing
The opportunities from cloud computing: SaaS IaaS PaaS etc
Cloud issues: security confidentiality performance limitations (big data and content)
Purchasing and procurement of cloud
Cloud as an opportunity to upgrade and to rethink data and processes
What is SOA and should I care?

Enterprise Resource Planning (ERP)

ERP and workflow history and economicsFunctionality and vendor analysis
ERP pitfalls
ERP and open standards
Common mistakes and SWOT

Advanced Business Intelligence

Information and intelligence to run an organisation: data driven models and budgetary control; decision support systems; risk modelling and data-mining
Further techniques to define information: Critical Success Factors KPIs Balanced scorecard and benchmarks
Specialist needs: combating money laundering; fraudulent trading etc
Communicating with the Boardroom: BI dashboards and BI usage
The future: using BI to deliver policies

Customer Relationship Management (CRM)

Second generation CRM and functionality
Selecting and specifying your CRM on-premise v cloud
Marketing analysis and campaigns 360 relationships and social media
The application of CRM in public and private sector (sales v. citizen interactions)
Common mistakes and SWOT

Using the Web and Social Media for Competitive Gain

BI and data-mining analysis of marketing and selling data
Pro-active use of social media Facebook viral campaigns community groups
Analysis of tweets and social media
Dealing with big data and data discovery

Management Information and Financial Systems

Selecting and specifying your financial system including appraisal against IFRS
Managing a large organisation meeting board management and regulatory needs
The impact of cloud and big data issues
Data efficiency utilisation and control avoiding data silos
Business Intelligence and an integrated view of the organisation

Cost: 7250 GBP

Duration: 10 Days

Data Visualisation with PowerBI - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:26:37 +04

Make your data come to life with attractive, interactive reports in Power BI. In this course, you’ll learn how to use Power BI’s analytics tools to transform your data into dazzling dashboards, reports, and visualisations to understand key business insights at a glance.

Power BI is a data visualisation tool that allows us to see and understand data more deeply. In this course, you’ll explore essential types of analysis and data visualisation used to convey insights from data.

You’ll learn how to prepare and clean your data before you work with it, and you’ll learn step by step how to use your data to build reports in Power BI Desktop and publish them to the cloud service where you can create and share your personalised dashboards.

You’ll also learn how to create, customise, and format your dashboard in Power BI and add interactivity to your data visualisations.

By the end of the course, you will be equipped with powerful data visualisation skills to help your organisation get the meaningful answers you and your colleagues need to make informed decisions for your business.

Module 1: What is Power BI?
Module 2: Getting Started with Power BI
Module 3: Data & Modeling
Module 4: Working with DAX (Power BI’s formula language)
Module 5: Exploring Visuals

Cost: 1500 USD

Duration: 3 Days

Python for Data Analysis - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:20:53 +04

In this course, you’ll learn to code with Python.

Python is a general-purpose programming language used for a variety of purposes, including web, software, and game development, artificial intelligence, machine learning, and data analysis.

The course begins with fundamental programming concepts, such as functions and statements. We then cover several of the Python libraries most relevant for data management and manipulation (, NumPy, Pandas, Seaborn, and Matplotlib).

You’ll also learn about extracting, transforming, and loading data (ETL) techniques and operations, as well as what is known as “data wrangling”.

Module 1: Introduction to Programming with Python
Getting Started with Python; Performing Operations with Complex Data Types; Working with “If” Statements, Loops, and Comprehensions; Defining, Configuring, and Invoking Functions; Leveraging Functions with Lambdas, Generators, Closures, and
Decorators

Module 2: Python for Data Science
Introduction to NumPy for Multi-dimensional Data; Advanced Operations with NumPy Arrays; Manipulating and Analysing Data in Pandas Dataframes; Data Wrangling with Pandas; Data
Visualisation Using Seaborn

Module 3: Operations with petl
Petl: Introduction; Basic Data Transformations; Advanced Extractions and Transformations

Module 4: Data Science Statistics
Using Python to Compute and Visualise Statistics; Applied Inferential Statistics

Cost: 1500 USD

Duration: 3 Days

Certified Data Science Practitioner - Opportunities Workshop , UAE, United Kingdom, Dubai, Online, London

Tue, 22 Apr 2025 14:02:02 +04

The Certified Data Science Practitioner™ (CDSP) is an industry-validated certification which helps professionals differentiate themselves from other job candidates by demonstrating their ability to put data science concepts into practice. Data can reveal insights and inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyse, understand, manipulate, and present data within an effective and repeatable process framework.

This certification validates candidates’ ability to use data science principles to address business issues, use multiple techniques to prepare and analyse data, evaluate datasets to extract valuable insights, and design a machine learning approach. In addition, it will validate skills to design, finalize, present, implement, and monitor a model to address issues regardless of business sector.

Cost: 1999 USD

Duration: 5 Days

Certified Ethical Emerging Technologist (CEET) - Opportunities Workshop , Online, Dubai, United Arab Emirates, London, United Kingdom,Bahrain,Malaysia,Oman,Qatar,Saudi Arabia,Singapore

Tue, 25 Mar 2025 18:14:04 +04

Course Overview:

This three-day intensive programme provides delegates with the knowledge, skills, and abilities required to:

Apply foundational ethical principles
Follow industry-standard frameworks
Identify and mitigate risks
Navigate ethical organizational governance
Devise and maintain ethical, trusted, and inclusive data-driven technologies

Key Topics Covered:

The Certified Ethical Emerging Technologist™ (CEET) course and exam cover the following five core areas:

Fundamental Concepts for Data-Driven Technology Ethics
Ethical Frameworks
Risk Identification and Mitigation
Communication
Organizational Policy and Governance

Certification & Exam:

This course fully equips delegates to successfully sit for the CertNexus Certified Ethical Emerging Technologist (CEET) exam and earn the accompanying certification.

Cost: 2999 USD

Duration: 3 Days

Data Entry for Beginners - IOMH - Institute of Mental Health , Online,United Kingdom

Mon, 02 Dec 2024 10:32:43 +04

Mastering the basics is the first step to success, and Data Entry for Beginners is your perfect starting point. This Data Entry for Beginners course is designed to introduce you to essential tools and techniques, making Data Entry for Beginners a valuable resource for building foundational skills in handling data efficiently and accurately.

You’ll explore how to work with tools like Microsoft Word and Excel, learn advanced techniques to boost productivity, and understand best practices to ensure data accuracy. Data Entry for Beginners not only teaches core concepts but also helps you prepare for a professional journey by building your confidence in data handling.

Whether you're looking to start a career, work remotely, or simply gain new skills, Data Entry for Beginners is an excellent choice. With this Data Entry for Beginners course, you'll have the knowledge to manage data with ease and create opportunities in today’s data-driven world.

Learning Outcomes

Learn essential tools for data entry.
Perform accurate data entry in Microsoft Word and Excel.
Understand advanced techniques for faster processing.
Master best practices for maintaining data accuracy.
Build a professional portfolio for your data entry career.
Gain confidence in managing and organizing data effectively.

Course Curriculum

Module 01: Introduction to Data Entry and Essential Tools
Module 02: Data Entry in Microsoft Word
Module 03: Data Entry in Microsoft Excel
Module 04: Advanced Data Entry Techniques and Tools
Module 05: Data Entry Best Practices and Accuracy
Module 06: Building Your Data Entry Career and Portfolio

Who Is This Course For?

Beginners seeking foundational data entry skills.
Professionals looking to improve data organization skills.
Students interested in remote job opportunities.
Freelancers wanting to enhance their service offerings.
Job seekers aiming to qualify for office roles.
Anyone keen to learn efficient data entry techniques.

Career Path

Data Entry Clerk – £18K to £25K/year
Administrative Assistant – £20K to £28K/year
Virtual Assistant – £22K to £35K/year
Records Clerk – £18K to £27K/year
Documentation Specialist – £25K to £40K/year

Cost: 9.99 GBP

Duration: Upto 2 Hours

Data Documentation and Record Keeping - IOMH - Institute of Mental Health , Online,United Kingdom

Fri, 29 Nov 2024 12:27:27 +04

Organised and secure data is vital for every organisation, and effective documentation makes it possible. Our Data Documentation and Record Keeping course gives you the knowledge to manage information efficiently. You’ll learn how to collect, organise, store, and retrieve data accurately while maintaining compliance with professional standards.

This Data Documentation and Record Keeping course also focuses on essential strategies for data security and access control. It explains how to ensure records are safe and accessible to authorized users. By mastering these techniques, you can prevent errors, maintain confidentiality, and support smoother operations in any professional setting.

Whether you are starting your career or want to improve your data management skills, this program in Data Documentation and Record Keeping is the perfect choice. Gain the confidence to handle data with precision and contribute to better organisation and compliance in your workplace.

Learning Outcomes

Learn effective data collection and organisation methods.
Understand strategies for secure data storage and retrieval.
Gain knowledge of compliance in record-keeping.
Explore data security and access control measures.
Master techniques for documentation accuracy.
Build skills to create organised and reliable record systems.

Course Curriculum

Module 01: Introduction to Data Documentation and Record Keeping
Module 02: Data Collection and Organisation
Module 03: Data Storage and Retrieval
Module 04: Data Documentation Strategies
Module 05: Record-Keeping and Compliance
Module 06: Data Security and Access Control

Who is this course for?

Professionals working in administrative roles seeking to improve data management skills.
Individuals responsible for compliance and record-keeping in organisations.
Students aspiring to build a career in data management or documentation.
Managers aiming to implement efficient data systems in their teams.
Anyone interested in enhancing their knowledge of secure data handling.
Professionals transitioning into roles focused on data accuracy and compliance.

Career Path

Records Manager - £25K to £40K/year
Compliance Officer - £28K to £50K/year
Data Entry Specialist - £18K to £25K/year
Information Administrator - £22K to £35K/year
Data Analyst - £30K to £55K/year

Cost: 9.99 GBP

Duration: Upto 1 Hour

Library and Information Science Diploma - IOMH - Institute of Mental Health , Online,United Kingdom

Fri, 29 Nov 2024 12:19:52 +04

Libraries are more than just collections of books; they are gateways to knowledge. With our Library and Information Science Diploma, you’ll develop the skills to manage, organise, and innovate within libraries and information systems. Dive into a world where digital and traditional resources come together to serve communities effectively.

This course explores vital topics like library networking, legislation, and finance, alongside the emerging world of digital libraries. You’ll gain a deep understanding of how to create, manage, and sustain efficient library infrastructures while upholding the ethics and values of the profession.

Whether you aim to work in public libraries, educational institutions, or virtual spaces, the Library and Information Science Diploma equips you with the knowledge to excel. Build your expertise and make an impact in this dynamic field.

Learning Outcomes

Understand library organisation systems and infrastructure.
Explore the ethics and values of library professions.
Gain insights into budgeting and financial management.
Learn about library networking and legislation.
Study the development and management of digital libraries.
Build knowledge of modern library systems and practices.

Course Curriculum

Module 01: Organisation Systems
Module 02: Ethics and Values in the Library Professions
Module 03: Library Networking
Module 04: Library as Infrastructure
Module 05: Finance and Budgeting
Module 06: Digital and Virtual Libraries
Module 07: Library Legislation

Who is this course for?

Aspiring librarians aiming to start their careers.
Current library professionals seeking to expand their knowledge.
Individuals interested in digital library systems.
Administrators wanting to manage library infrastructure effectively.
Those exploring roles in academic or public library settings.
Anyone passionate about modernising library services.

Career Path

Library Assistant - £18K to £25K/year
Academic Librarian - £24K to £40K/year
Digital Archivist - £28K to £45K/year
Metadata Analyst - £30K to £50K/year
Records Management Officer - £22K to £35K/year

Cost: 9.99 GBP

Duration: Upto 2 Hours

Data Analyst: Data Analysis in Excel - IOMH - Institute of Mental Health , Online,United Kingdom

Wed, 16 Oct 2024 10:44:14 +04

Data is everywhere, and knowing how to analyse it is essential. This Data Analyst: Data Analysis in Excel course on Data Analysis in Excel will help you become a skilled Data Analyst. You will learn how to work with data effectively using Excel, one of the most popular tools in the world.

The Data Analyst: Data Analysis in Excel course covers everything you need to know. You will learn how to modify worksheets and manage lists. Analysing data will become easier as you use various functions and tools. You will also create charts and PivotTables to visualize your findings.

By the end of the Data Analyst: Data Analysis in Excel course, you will feel confident in your ability to analyse data. You will have the skills to tackle data problems and make informed decisions. Join us and take the first step toward becoming a successful Data Analyst!

Learning Outcomes

Understand Excel worksheet modifications.
Work efficiently with lists for data management.
Analyse and interpret data accurately.
Create visual representations using charts.
Utilize PivotTables and PivotCharts for insights.
Automate tasks and forecast data trends.

Course Curriculum

Module 1: Modifying a Worksheet
Module 2: Working with Lists
Module 3: Analysing Data
Module 4: Visualizing Data with Charts
Module 5: Using PivotTables and PivotCharts
Module 6: Working with Multiple Worksheets and Workbooks
Module 7: Using Lookup Functions and Formula Auditing
Module 8: Automating Workbook Functionality
Module 9: Creating Sparklines and Mapping Data
Module 10: Forecasting Data

Cost: 9.99 GBP

Duration: Upto 5 Hours

FinTech - IOMH - Institute of Mental Health , Online,United Kingdom

Wed, 16 Oct 2024 10:37:38 +04

FinTech is changing how we handle money and investments. This FinTech course will introduce you to the exciting world of financial technology. You will learn about important topics like cryptocurrencies, regulatory technology, and the growth of insurtech companies.

Understanding FinTech is essential in today's digital age. This FinTech course will help you grasp how technology improves financial services. You will see how big data plays a key role in making smart financial decisions.

By the end of this FinTech course, you will have a solid foundation in FinTech. You will feel confident navigating this fast-paced industry. Join us and start your journey into the future of finance today!

Learning Outcomes

Understand the core concepts of FinTech.
Explore the role of cryptocurrencies in finance.
Learn about regulatory technology (RegTech) and its importance.
Gain insights into the emergence of insurtechs.
Comprehend the basics of big data in finance.
Analyse trends shaping the future of FinTech.

Course Curriculum

Module 01: Introduction To Financial Technology – FinTech
Module 02: Exploring Cryptocurrencies
Module 03: RegTech
Module 04: Rise Of InsurTechs
Module 05: Big Data Basics: Understanding Big Data
Module 06: The Future Of Fintech

Cost: 9.99 GBP

Duration: Upto 1 Hour

SQL: Data Science, Analytics and Visualization - IOMH - Institute of Mental Health , Online,United Kingdom

Wed, 16 Oct 2024 10:24:25 +04

Learning SQL can change the way you work with data. This course on SQL: Data Science, Analytics, and Visualization is designed to help you understand how to manage and analyse data effectively. You will start with the basics and move on to more advanced topics, ensuring a solid foundation.

In this SQL: Data Science, Analytics, and Visualization course, you will learn to write SQL queries, create and manage databases, and work with data visualization tools. This knowledge will help you transform raw data into clear insights. Whether you are looking to enhance your skills or start a career in data analytics, this course is a great choice.

By the end of the SQL: Data Science, Analytics, and Visualization course, you will feel confident using SQL for various data tasks. You will be ready to tackle real-world problems and make data-driven decisions. Join us and take your first step towards becoming a data analytics expert!

Learning Outcomes

Understand SQL basics and setup.
Create and manipulate SQL databases.
Filter and aggregate data using SQL.
Utilize JOINS for comprehensive data analysis.
Visualize data insights with Azure Data Studio.
Import, export, backup, and restore databases effectively.

Course Curriculum

Section 01: Getting Started
Section 02: SQL Server Setting Up
Section 03: SQL Azure Data Studio
Section 04: SQL Database Basic SSMS
Section 05: SQL Statements For DATA
Section 06: SQL Data Structure Statements
Section 07: SQL User Management
Section 08: SQL Statement Basic
Section 09: Filtering Data Rows
Section 10: Aggregate Functions
Section 11: SQL Query Statements
Section 12: SQL Group By Statement
Section 13: JOINS For Multiple Table Data Analysis
Section 14: SQL Constraints
Section 15: Views
Section 16: Advanced SQL Commands
Section 17: SQL Stored Procedures
Section 18: Azure Data Studio Visualization
Section 19: Azure Studio SQL For Data Analysis
Section 20: Import & Export Data
Section 21: Backup And Restore Database

Cost: 9.99 GBP

Duration: Upto 7 Hours

Google Data Studio: Data Analytics - IOMH - Institute of Mental Health , Online,United Kingdom

Wed, 16 Oct 2024 10:14:25 +04

Mastering data analytics is more important than ever. This Google Data Studio: Data Analytics course on Google Data Studio helps you understand and use data effectively. You will learn how to create beautiful and informative reports that can change how you view data.

In this Google Data Studio: Data Analytics course, you will start with the basics of Google Sheets. You will learn how to format data and use key functions like VLOOKUP. This knowledge will set a strong foundation for your data analytics journey.

Next, you will move on to Google Data Studio. You will learn how to connect your data, customize your reports, and create different types of charts. By the end, you will have the skills to present data clearly and effectively. Get ready to take your data skills to the next level!

Learning Outcomes

Gain a solid understanding of data analytics principles.
Learn to format and manage data in Google Sheets.
Use key functions like VLOOKUP and query effectively.
Connect and customize reports in Google Data Studio.
Create various types of charts to visualize data.
Develop skills to blend and join data tables seamlessly.

Course Curriculum

Module 1: Course Overview
Module 2: Google Sheets
Module : Format Data in Google Sheets
Module : Sheet Functions 1: Query & Import Range
Module : Sheets Function 2: Vlookup & Defined Range
Module : Sheets Function 3: Cross Table Calculations
Module 3: Google Data Studio
Module : Connect Data to Google Data Studio
Module : GDS Calculated Fields
Module : GDS Theme Customization
Module : GDS Page Layout Design
Module : GDS Charts: Scorecards
Module : GDS Charts: Time Series Graphs
Module : GDS Blending and Joining Data Tables
Module : GDS Charts: Bar, Donut, and Treemap
Module : GDS Charts: Interactive Filters
Module : GDS Project Page Completion
Module : GDS Client Page Completion

Cost: 9.99 GBP

Duration: Upto 3 Hours

Big Data Analytics with PySpark Tableau - IOMH - Institute of Mental Health , Online,United Kingdom

Wed, 16 Oct 2024 10:08:23 +04

In today’s world, data is everywhere, and knowing how to analyze it is a valuable skill. The Big Data Analytics with PySpark Tableau course is designed to help you understand and work with large datasets easily. This Big Data Analytics with PySpark Tableau course provides a step-by-step guide to using PySpark and Tableau, two powerful tools for data processing and visualization.

You will start by setting up your environment and learning how to process data using PySpark and MongoDB. The Big Data Analytics with PySpark Tableau course covers important topics like machine learning and creating data pipelines. With each lesson, you will build confidence in your ability to handle big data challenges.

By the end of the Big Data Analytics with PySpark Tableau course, you will know how to analyse and visualize data effectively. Whether you want to start a new career or advance in your current job, this Big Data Analytics with PySpark Tableau course will give you the skills you need to succeed in the growing field of data analytics.

Learning Outcomes

Understand the basics of big data analytics.
Set up and install necessary tools for data processing.
Process data using PySpark and MongoDB.
Apply machine learning techniques with PySpark and MLlib.
Create efficient data pipeline scripts.
Visualize data effectively using Tableau.

Course Curriculum

Section 01: Introduction
Section 02: Setup And Installations
Section 03: Data Processing With PySpark And MongoDB
Section 04: Machine Learning With PySpark And MLlib
Section 05: Creating The Data Pipeline Scripts
Section 06: Tableau Data Visualization

Cost: 9.99 GBP

Duration: Upto 5 Hours

Diploma in Data Analytics with Tableau - IOMH - Institute of Mental Health , Online,United Kingdom

Wed, 16 Oct 2024 10:01:13 +04

Data is everywhere, and knowing how to analyse it can open many doors for your career. The Diploma in Data Analytics with Tableau is designed to teach you how to work with data and turn it into useful information. This Diploma in Data Analytics with Tableau course is perfect for anyone who wants to understand data analytics without needing a background in the field.

You will learn how to use Tableau, a powerful tool for creating visual data stories. The Diploma in Data Analytics with Tableau course includes fun projects that cover different areas, like sales, HR, and stock analysis. Each project will help you gain practical skills and knowledge that you can apply in real life.

By the end of the Diploma in Data Analytics with Tableau course, you will feel confident in your ability to analyse data and make smart decisions. Whether you are looking to start a new job or enhance your skills, this Diploma in Data Analytics with Tableau Course will give you the tools you need to succeed in the world of data analytics.

Learning Outcomes

Understand the fundamentals of data analytics.
Learn to use Tableau for data visualization.
Analyse sales and profit metrics effectively.
Apply HR analytics to enhance workforce strategies.
Track and interpret shipping data for business insights.
Explore stock price analytics and market trends.

Course Curriculum

Module 01: Introduction to the Course
Module 02: Project 1: Discount Mart (Sales and Profit Analytics)
Module 03: Project 2: Green Destinations (HR Analytics)
Module 04: Project 3: Superstore (Sales Agent Tracker)
Module 05: Northwind Trade (Shipping Analytics)
Module 06: Project 5: Tesla (Stock Price Analytics)
Module 07: Bonus: Introduction to Database Concepts
Module 08: Tableau Stories

Cost: 9.99 GBP

Duration: Upto 7 Hours

Business Data Analysis - IOMH - Institute of Mental Health , Online,United Kingdom

Mon, 14 Oct 2024 16:30:08 +04

In today’s competitive market, understanding and interpreting business data is more important than ever. This Business Data Analysis course is designed to provide you with a comprehensive understanding of how businesses work with data, ensuring you have the knowledge to evaluate and improve processes and strategies effectively. You will explore key concepts such as business environment analysis, strategic analysis, and ratio analysis, giving you the tools needed to make informed decisions that can shape the future of a business.

From planning and forecasting to documenting and managing requirements, this Business Data Analysis course covers all aspects of data analysis. The modules also focus on stakeholder management, business development, and process improvement, ensuring that you have a well-rounded understanding of how data impacts every part of a business.

By the end of this Business Data Analysis course, you will be able to apply your Business Data Analysis skills to evaluate solutions, manage stakeholders, and enhance business processes with a clear, data-driven approach. Whether you are aiming to streamline operations or contribute to business growth, this course offers the solid theoretical foundation you need to excel.

Learning Outcomes:

Understand business analysis and its role in decision-making.
Analyse business environments and identify key factors for success.
Apply strategic analysis and process improvement techniques.
Evaluate solutions and manage stakeholders effectively.
Conduct ratio analysis to assess business performance.
Plan and forecast business operations with confidence.

Course Curriculum

Module 01: Introduction to Business Analysis
Module 02: Business Environment
Module 03: Business Processes
Module 04: Business Analysis Planning and Monitoring
Module 05: Strategic Analysis and Product Scope
Module 06: Solution Evaluation
Module 07: Investigation Techniques
Module 08: Ratio Analysis
Module 09: Stakeholder Analysis and Management
Module 10: Process Improvement with Gap Analysis
Module 11: Documenting and Managing Requirements
Module 12: Business Development and Succession Planning
Module 13: Planning & Forecasting Operations
Module 14: Business Writing Skills

Cost: 9.99 GBP

Duration: Upto 8 Hours

Data Science & Machine Learning - IOMH - Institute of Mental Health , Online,United Kingdom

Mon, 14 Oct 2024 16:09:45 +04

Data science is transforming industries, but many feel overwhelmed by the sheer complexity of algorithms and machine learning models. Without a clear path, even the most motivated learners can struggle to get started. Imagine confidently handling machine learning models, data preparation, and algorithm evaluations using Data Science & Machine Learning techniques. This course bridges the gap between confusion and confidence, providing a structured, step-by-step introduction to Data Science & Machine Learning. Through foundational Python libraries and advanced evaluation methods, you’ll develop the skills to understand and work with complex data sets. With this Data Science & Machine Learning course, you’ll gain the expertise to tackle data science challenges, positioning yourself for success in a rapidly growing field.

Learning Outcomes

Understand the fundamentals of Data Science & Machine Learning.
Learn how to prepare, clean, and manipulate datasets.
Master key Python libraries such as NumPy, Pandas, and Matplotlib.
Develop skills in algorithm evaluation and selection.
Gain expertise in feature selection and data preparation.
Explore ensemble techniques for performance improvement.

Course Curriculum

Module 01: Course Overview & Table of Contents
Module 02: Introduction to Machine Learning - Part 1 - Concepts, Definitions, and Types
Module 03: Introduction to Machine Learning - Part 2 - Classifications and Applications
Module 04: System and Environment Preparation - Part 1
Module 05: System and Environment Preparation - Part 2
Module 06: Learn Basics of Python - Assignment
Module 07: Learn Basics of Python - Assignment
Module 08: Learn Basics of Python - Functions
Module 09: Learn Basics of Python - Data Structures
Module 10: Learn Basics of NumPy - NumPy Array
Module 11: Learn Basics of NumPy - NumPy Data
Module 12: Learn Basics of NumPy - NumPy Arithmetic
Module 13: Learn Basics of Matplotlib
Module 14: Learn Basics of Pandas - Part 1
Module 15: Learn Basics of Pandas - Part 2
Module 16: Understanding the CSV Data File
Module 17: Load and Read CSV Data File Using Python Standard Library
Module 18: Load and Read CSV Data File Using NumPy
Module 19: Load and Read CSV Data File Using Pandas
Module 20: Dataset Summary - Peek, Dimensions, and Data Types
Module 21: Dataset Summary - Class Distribution and Data Summary
Module 22: Dataset Summary - Explaining Correlation
Module 23: Dataset Summary - Explaining Skewness - Gaussian and Normal Curve
Module 24: Dataset Visualization - Using Histograms
Module 25: Dataset Visualization - Using Density Plots
Module 26: Dataset Visualization - Box and Whisker Plots
Module 27: Multivariate Dataset Visualization - Correlation Plots
Module 28: Multivariate Dataset Visualization - Scatter Plots
Module 29: Data Preparation (Pre-Processing) - Introduction
Module 30: Data Preparation - Re-scaling Data - Part 1
Module 31: Data Preparation - Re-scaling Data - Part 2
Module 32: Data Preparation - Standardizing Data - Part 1
Module 33: Data Preparation - Standardizing Data - Part 2
Module 34: Data Preparation - Normalizing Data
Module 35: Data Preparation - Binarizing Data
Module 36: Feature Selection - Introduction
Module 37: Feature Selection - Uni-variate Part 1 - Chi-Squared Test
Module 38: Feature Selection - Uni-variate Part 2 - Chi-Squared Test
Module 39: Feature Selection - Recursive Feature Elimination

……...And more.

Cost: 9.99 GBP

Duration: Upto 10 Hours

Basic Data Analysis - IOMH - Institute of Mental Health , Online,United Kingdom

Mon, 02 Sep 2024 13:24:37 +04

Understanding data is key to making informed decisions, and our Basic Data Analysis course makes it easy. This Basic Data Analysis course simplifies the essentials of data analysis with clear explanations and practical tools. You'll learn how to use charts like Pareto and Histogram to analyse and present data effectively.

You will also explore Control Charts and understand how to manage variations. This knowledge will help you interpret data accurately and drive improvements. The Basic Data Analysis course is designed to give you a solid foundation in data analysis, making complex concepts easy to grasp.

By the end, you'll be able to use data analysis to enhance performance and support decision-making. If you're looking to build your skills in analysing and interpreting data, this Basic Data Analysis course is the perfect starting point.

Learning Outcomes

Understand the core principles of Data Analysis.
Apply tools like Pareto and Histogram charts.
Interpret and use Control Charts effectively.
Analyse variations and implement improvement strategies.
Present performance data with clarity.
Use Data Analysis to drive organisational improvements.

Course Curriculum

Module 01: Introduction
Module 02: Agenda and Principles of Process Management
Module 03: The Voice of the Process
Module 04: Working as One Team for Improvement
Module 05: Exercise: The Voice of the Customer
Module 06: Tools for Data Analysis
Module 07: The Pareto Chart
Module 08: The Histogram
Module 09: The Run Chart
Module 10: Exercise: Presenting Performance Data
Module 11: Understanding Variation
Module 12: The Control Chart
Module 13: Control Chart Example
Module 14: Control Chart Special Cases
Module 15: Interpreting the Control Chart
Module 16: Control Chart Exercise
Module 17: Strategies to Deal with Variation
Module 18: Using Data to Drive Improvement
Module 19: A Structure for Performance Measurement
Module 20: Data Analysis Exercise
Module 21: Course Project
Module 22: Test your Understanding

Cost: 9.99 GBP

Duration: Upto 2 Hours

Analytical Tools and Techniques - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
Welcome to our 5-day Analytical Tools and Techniques course where we empower you with the knowledge and skills needed for strategic excellence. Dive into essential strategic tools discover customer-centric approaches and master data analysis techniques. By the end of this program you'll be equipped to make informed decisions spot opportunities and enhance your strategic thinking. Join us on this learning journey to elevate your business acumen.

Objective

Understand essential strategic tools, including STEEP, PEST, SWOT, Porter's Five Forces, and more.
Explore customer-centric models like the Kano Model and Quality Function Deployment.
Develop skills to analyse and respond to customer requirements effectively.
Learn data analysis techniquesincluding data distributioncorrelationsand regression analysis.
Apply strategic and customer tools to improve business decision-making.
Identify key success factorsindustry signalsand opportunities for your organisation.
Enhance your strategic thinking and problem-solving abilities.

Who Should Attend

Managers, supervisors and data analytic personnel who will use this in their day-to-day role.
Anyone who wishes to have a greater understanding of analytics and analysis.

Course Outlines
Day 1: Introduction to Strategic Tools

Introduction to Strategic Thinking
Overview of STEEP and PEST Models
Practical exercises on conducting external environmental scans
Dive into Porter's Five Forces Model
Application of SWOT Analysis

Day 2: Deepening Strategic Tools

Introduction to Ansoff Matrix
Practical exercises to evaluate market strategies
SPACE Matrix explained

Day 3: Customer-Centric Tools

Introduction to Customer-Centric Thinking
Overview of the Kano Model
Application of customer segmentation for strategic focus
Assigning values to customers and ranking based on expectations
Quality Function Deployment model for customer requirements

Day 4: Advanced Customer Tools

Introduction to the Buyer Utility Map
Exercises in generating new customer satisfaction strategies
Conducting customer surveys and data collection techniques

Day 5: Data Analysis with Statistics

Introduction to Data Analysis with Statistics
Recognising data analysis approaches
Basics of quality control and reducing errors
Overview of Quantitative vs. Qualitative data and levels of measurement
Designing ways of expressing data distributions visually
Identifying necessary measures for describing data distributions
Representing correlations in data and introduction to regression analysis

Cost: 4900 USD

Duration: 5 Days

Data Analysis with Pivot Tables - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
Advances in technology have made it possible to store ever increasing amounts of data. Along with this the need to analyse that data and gain actionable insight is greater than ever. Being able to harness the power of advanced PivotTable features and create Pivot Charts will help you to gain a competitive edge.

You will not only be able to summarize data for you to analyse but also organise the data in a way that can be meaningfully presented to others. This leads to data-driven business decisions that have a better chance for success for everyone involved.

Objective
Upon successful completion of this courseyou will be able to use Excel advanced PivotTable functionality to analyse your raw data.
You will:

Prepare data for PivotTable reporting and create PivotTables from various data sources
Analyse Data Using PivotTables
Work with Pivot Charts

Who Should Attend
Managers and staff taking this course are experienced Excel users who are seeking to advance their data analysis capabilities by using PivotTables.

Course Outlines

Preparing Data and Creating PivotTables
Prepare Data.
Create a PivotTable from a Local Data Source.
Create a PivotTable from Multiple Local Data Sources.
Create a PivotTable from an External Data Source.
Analysing Data Using PivotTables
Summarize PivotTable Data
Organize PivotTable Data
Filter PivotTable Data
Format a PivotTable
Refresh and Change PivotTable Data
Working with Pivot Charts
Create a PivotChart
Manipulate PivotChart Data
Format a PivotChart

Cost: 4900 USD

Duration: 5 Days

Big Data Analysis - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
Big data analysis refers to the process of analysing and extracting insights from large and complex data sets that are too big to be processed by traditional data processing tools. Big data analysis involves using advanced technologies and statistical algorithms to extract useful information from massive amounts of data often collected in real-time from various sources such as social media sensors weblogs and transactional data.

Big data analysis aims to identify patterns trends and correlations that can be used to make informed decisions optimise business operations and gain a competitive advantage. Some common techniques used in big data analysis include data mining machine learning natural language processing and predictive analytics.

Objective
The key benefits of the Big Data Analysis Course are as follows:

Improved Data Analytics Skills
Career Advancement
Better Decision Making
Competitive Advantage
Increased Earning Potential
Overalltaking a course on big data analysis can provide individuals with valuable skills and knowledge that are in high demand across many industriesleading to improved career prospectsbetter decision-makingand a competitive advantage for their organisations.

Who Should Attend

1. Data analysts and data scientists who want to learn new techniques and tools for analysing large data sets.
2. Business analysts who want to use data-driven insights to make better decisions and improve business performance.
3. IT professionals are responsible for managing and maintaining large databases and data warehouses.
4. Developers who want to learn how to build scalable and efficient data processing systems.
5. Managers and executives who want to better understand big data technologies and how they can be used to drive business innovation and growth. Overall, anyone who wants to learn how to work with big data and extract valuable insights from it can benefit from attending a course on big data analysis.

Course Outlines
Day 1

Introduction to Big Data & Big Data Analysis
Understanding Big Data & its Importance
Characteristics of Big Data
Data Analysis and its role in big data

Day 2

Big Data Technology
Introduction to Big Data Technologies
Hadoop and its ecosystem
Spark and its ecosystem

Day 3

Data Storage and Retrieval
Data Storage and Retrieval technologies
NoSQL Databases (MongoDB Cassandra)
Distributed File Systems (HDFS Amazon S3)

Day 4

Data Processing and Analysis
Data Processing analysis technologies
Data Modelling and preparation
Data Analysis Techniques (statistical analysis machine learning)

Day 5

Data Visualisation and Business Intelligence
Data Visualisation and its importance
Visualisation tools and techniques
Introduction to business intelligence and analytics

Cost: 4900 USD

Duration: 5 Days

Deep Learning for Data Analysis - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
This comprehensive training course delves into the powerful world of Deep Learning and its applications in data analysis. Designed for data analysts and professionals seeking to enhance their skillset this program equips you with the knowledge and tools to extract deeper insights from complex datasets.

Objective
By the end of the courseyou will have acquired the following skills and knowledge:

Profound insight into the statistical underpinnings of artificial intelligence.
Comprehensive understanding of machine learning principles and their practical applications.
Mastering deep learning modelsactivation functionsweights initialisation strategiesand regularisation techniques.
In-depth comprehension of Natural language processing NLP.
Hands-on experience through engagement in a practical project.
Exploration of diverse AI applications within the realm of businesses.
Gain expertise in discerning and leveraging business opportunitiesadeptly crafting compelling use cases.

Who Should Attend
The Deep Learning for Data Analysis training course is ideal for various professionals who want to leverage Deep Learning to extract more value from their data. Here's a breakdown of the target audience:

Data Analysts
Data Scientists
Business Analysts & Researchers
Machine Learning Professionals
Anyone with an Interest in Deep Learning

This course is designed for anyone who wants to bridge the gap between data analysis and Deep Learning to gain deeper insights from complex data sets.

Course Outlines
Day 1
Introduction

Understand data and exploratory data analysis (EDA).
Measures of central tendency dispersion and correlation.
Introduction to Machine Learning.
Introduction to supervised learning algorithms.
Introduction to unsupervised learning.
Introduction to reinforcement learning.
Complete ML workflow.

Day 2
Deep Learning

Introduction to Deep Learning
Neural Networks (NN).
Feedforward neural networks.
Activation functions.
Backpropagation.
Regularisation.
Dropout.
Optimisation algorithms.
Weight initialisation.
Batch normalisation.
Hyper parameter tuning.

Day 3
Natural Language Processing

Introduction to Natural Language Processing (NLP).
Understand NLP tasks.
Understand NLP cycle.
Bag of Words (BoW).
Word Embeddings.
Word2Vec.
Contextualised word embeddings.
BERT.

Day 4
Deep Learning Project

Deep Learning project.
Problem identification.
Value identification.
Project setup.
Project implementation.
Evaluation.

Day 5
AI applications in businesses.

Discriminative AI applications.
Generative AI applications.
Building a business use case.
Course wrap-up.

Cost: 4900 USD

Duration: 5 Days

Data Management - London Training For Excellence , Netherlands, UAE, United Kingdom, Dubai, London, Amsterdam,United Arab Emirates,United Kingdom

Mon, 05 Aug 2024 16:10:33 +04

Overview
In today's data-driven world organisations are drowning in a sea of information. Effective data management is critical for turning this chaos into valuable insights. This intensive 5-day program equips you with the skills and knowledge to navigate the data landscape. Through interactive lectures practical exercises real-world case studies and industry best practices you will learn to collect organise analyse and protect your data assets for informed decision-making.

Objective

Gain a comprehensive understanding of data management principlesprocessesand technologies.
Develop data collectioncleaningand integration strategies from various sources.
Master data modelling techniques for efficient data organisation and storage.
Learn to apply data quality control measures to ensure data accuracy and consistency.
Explore critical concepts of data governance and data security best practices.
Understand data analytics techniques and how they leverage managed data for insights.
Develop skills for data visualisation to communicate data stories effectively.
Stay ahead by exploring emerging data management and analytics trends.

Who Should Attend

Data Analysts and Business Analysts: Learn advanced data preparation and analysis techniques.
Data Scientists: Gain a deeper understanding of data management principles for robust data analysis projects.
Database Administrators (DBAs): Develop robust data modelling and data security practices.
IT Professionals: Understand how data management integrates with overall IT infrastructure.
Business Managers and Executives: Gain insights into leveraging data for strategic decision-making.
Marketing Professionals: Learn to use data for targeted marketing campaigns and customer insights.

Course Outlines
Day 1: Foundations of Data Management

Introduction: The importance of data management in the digital age and its impact on business success.
Data Lifecycle Management (DLM): Understanding the different stages of data from creation to archiving.
Data Quality Fundamentals: Defining data quality standards and implementing data cleaning techniques.
Data Governance Framework: Establishing a framework for data ownership access control and data security.

Day 2: Data Acquisition & Integration Strategies

Data Collection Techniques: Exploring various methods for data collection from internal & external sources.
Data Integration: Mastering strategies to combine data from diverse formats and sources into a unified system.
Data Warehousing & Business Intelligence (BI): Understanding the role of data warehouses and BI tools for data analysis.

Day 3: Data Modelling & Design

Data Modelling Fundamentals: Conceptual logical and physical data models for efficient data organisation.
Entity-Relationship Diagrams (ERDs): Visual representations of data relationships between entities and attributes.
Data Normalisation Techniques: Minimising data redundancy and corruption for optimal data integrity.

Day 4: Data Security & Access Control

Data Security Threats: Understanding common data security risks and implementing data protection measures.
Access Control Mechanisms: Developing user roles and permissions for secure data access and management.
Data Encryption & Anonymisation: Learning techniques to secure sensitive data and protect privacy.
Data Backup & Disaster Recovery: Creating robust strategies for data backup recovery and business continuity.

Day 5: Data Analytics & Visualization

Introduction to Data Analytics: Exploring different data analytics techniques to extract valuable insights from data.
Introduction to Data Visualisation Tools: Learning to create compelling data visualisations for effective communication.
Storytelling with Data: Developing skills to communicate complex data insights to stakeholders clearly and concisely.
The Future of Data Management: Emerging trends in data management including Big Data Cloud Computing and Artificial Intelligence (AI).

Cost: 4900 USD

Duration: 5 Days

Data Analyst: Data Analysis in Excel - IOMH - Institute of Mental Health , Online,United Kingdom

Wed, 26 Jun 2024 13:35:53 +04

Step into a world where data speaks volumes and insights are currency. Our Data Analyst: Data Analysis in Excel course invites you to embark on a transformative journey into the heart of Dentistry: Data Analyst: Data Analysis in Excel mastery. Imagine wielding Excel not just as a tool, but as a gateway to unlocking the secrets hidden within your data.

Begin with the fundamentals of worksheet manipulation, honing your ability to shape data with precision. Dive deeper into the art of data visualization, where charts and Spark lines breathe life into numbers, revealing trends at a glance. Master Pivot Tables to distill complex information into clear, actionable insights, and seamlessly navigate across multiple worksheets and workbooks with finesse.

By the journey's end, you'll possess the skills to forecast future trends confidently, armed with the prowess to drive strategic decisions through data. Join us in this exhilarating odyssey of Dentistry: Data Analyst: Data Analysis in Excel, where each lesson is a stepping stone towards expertise and every dataset is a story waiting to be told.

Learning Outcomes:

Manipulate and modify data efficiently within Excel.
Analyse data using advanced functions and tools.
Visualize data effectively through charts and Spark lines.
Utilize Pivot Tables and Pivot Charts for data summarization.
Manage multiple worksheets and workbooks seamlessly.
Forecast future trends and patterns based on historical data.

Cost: 9.99 GBP

Duration: Upto 5 Hours